Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Generating Adversarial Events: A Motion-Aware Point Cloud Framework
arXiv:2602.08230v1 Announce Type: cross Abstract: Event cameras have been widely adopted in safety-critical domains such as autonomous driving, robotics, and…
MosaicThinker: On-Device Visual Spatial Reasoning for Embodied AI via Iterative Construction of Space Representation
arXiv:2602.07082v1 Announce Type: cross Abstract: When embodied AI is expanding from traditional object detection and recognition to more advanced tasks…
Temperature Scaling Attack Disrupting Model Confidence in Federated Learning
arXiv:2602.06638v2 Announce Type: replace-cross Abstract: Predictive confidence serves as a foundational control signal in mission-critical systems, directly governing risk-aware logic…
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
arXiv:2602.06960v2 Announce Type: replace-cross Abstract: Large reasoning models achieve strong performance by scaling inference-time chain-of-thought, but this paradigm suffers from…
When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems
arXiv:2602.08272v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has emerged as a crucial method for training or fine-tuning large language…
CoRect: Context-Aware Logit Contrast for Hidden State Rectification to Resolve Knowledge Conflicts
arXiv:2602.08221v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) often struggles with knowledge conflicts, where model-internal parametric knowledge overrides retrieved evidence,…
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
arXiv:2602.07081v1 Announce Type: cross Abstract: This paper introduces a generalized federated prompt-tuning framework for practical scenarios where local datasets are…
SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
arXiv:2602.06807v1 Announce Type: cross Abstract: We address the over-constrained planning problem in semi-static environments. The planning objective is to find…
Towards Agentic Intelligence for Materials Science
arXiv:2602.00169v2 Announce Type: replace-cross Abstract: The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true…
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
arXiv:2508.01309v2 Announce Type: replace-cross Abstract: The scarcity and high cost of high-quality domain-specific question-answering (QA) datasets limit supervised fine-tuning of…